Similarity has always been a key aspect in computer science and statistics. Any time two
element vectors are compared, many different similarity approaches can be used …

We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Person re-identification (re-id) remains challenging due to significant intra-class variations
across different cameras. Recently, there has been a growing interest in using generative …

Abstract The recently developed DEtection TRansformer (DETR) establishes a new object
detection paradigm by eliminating a series of hand-crafted components. However, DETR …

Building change detection (BCD) recently can be handled well under the booming of deep-
learning based computer vision techniques. However, segmentation and recognition for …

We propose a new deep architecture for person re-identification (re-id). While re-id has seen
much recent progress, spatial localization and view-invariant representation learning for …

With the development of web technology, multi-modal or multi-view data has surged as a
major stream for big data, where each modal/view encodes individual property of data …

The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …

Recent years have witnessed the remarkable progress of applying deep learning models in
video person re-identification (Re-ID). A key factor for video person Re-ID is to effectively …

With the popularity of multimedia technology, information is always represented from
multiple views. Even though multiview data can reflect the same sample from different …